Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. An article comprising a non-transitory computer-readable storage medium containing instructions that when executed by a processor enable a system to: receive video data corresponding to motion of a first computing device, the video data captured by one or more camera devices of a second computing device; receive sensor data corresponding to motion of the first computing device, the sensor data captured by one or more sensors of the first computing device; compare the video data and the sensor data to one or more gesture models; determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture based on the comparison of the video data and the sensor data to one or more gesture models; compare time stamps of the video data and the sensor data; determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time; and determine whether to initiate establishment of a secure wireless connection between the first computing device and the second computing device based at least on a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture and a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time.
A system wirelessly connects two devices using gesture recognition. Device A's motion is captured by Device B's camera and by Device A's own sensors (like accelerometer/gyroscope). The system compares both the camera video data and Device A's sensor data to pre-existing gesture models. The system checks if the captured motion from both sources matches the same gesture. Also, it checks if both sets of data (video and sensor) have matching timestamps. If the gesture matches and the timestamps are close, a secure wireless connection between Device A and Device B is established. The instructions for this process are stored on a non-transitory computer-readable storage medium.
2. The article of claim 1 , the one or more sensors of the first computing device comprising one or more of an accelerometer or a gyroscope and the one or more camera devices of the second computing device comprising one or more of a video camera or an infrared camera.
Building on the previous gesture-based wireless connection, Device A's motion sensors are an accelerometer or gyroscope, and Device B's camera is a video camera or infrared camera. Device A sends accelerometer/gyroscope data about its movement, while Device B uses its video/infrared camera to record Device A's movements. This combined motion and video data are used to verify the user's gesture and initiate a secure wireless connection as described before.
3. The article of claim 1 , the first computing device located within a field of view of the one or more camera devices of the second computing device.
Expanding on the gesture-based wireless connection, Device A must be within the camera's view of Device B to allow Device B to capture the video data of Device A's motion. The system needs to see Device A moving to start the process of gesture recognition for secure wireless connection.
4. The article of claim 1 , comprising instructions that when executed enable the system to compare device identification information for the first or second computing device to known device identification information.
In addition to the gesture-based wireless connection, the system checks Device A or Device B's identification against a list of known devices. This is an extra security measure to verify that the device attempting to connect is a trusted device.
5. The article of claim 1 , comprising instructions that when executed enable the system to: initiate a training phase for the first and second computing devices; receive video data and sensor data corresponding to motion of the first computing device; and store the video data and sensor data as a plurality of gesture models.
To improve gesture recognition for the wireless connection, the system includes a training mode. Device A and Device B enter a learning phase where Device A's motions are recorded through Device B's camera and Device A's sensors. The recorded video and sensor data are stored as gesture models that the system uses for future gesture recognition. This helps the system learn new gestures or improve recognition of existing ones.
6. The article of claim 1 , the first and second computing devices coupled to a same wireless local area network (WLAN).
For the gesture-based wireless connection, Device A and Device B are connected to the same Wi-Fi network (WLAN). This simplifies the initial setup and connection process before the secure wireless connection is established based on gesture recognition.
7. The article of claim 1 , the first computing device comprising one of a smartphone or a tablet computing device and the second computing device comprising one of a laptop computer, a desktop computer, a set-top box or a digital television.
In the context of the gesture-based wireless connection, Device A can be a smartphone or tablet. Device B can be a laptop, desktop, set-top box, or digital television. This specifies common types of devices that can use this gesture-based connection method.
8. The article of claim 1 , wherein the system comprises the second computing device.
For the gesture-based wireless connection, the system (which processes the video and sensor data and initiates the wireless connection) is located on Device B (e.g., a computer or TV).
9. The article of claim 1 , wherein the system comprises the first computing device.
For the gesture-based wireless connection, the system (which processes the video and sensor data and initiates the wireless connection) is located on Device A (e.g., a smartphone or tablet).
10. The article of claim 1 , wherein the system comprises a third computing device wirelessly accessible by both the first and second computing device.
A system for secure data sharing between computing devices includes a first computing device that generates a data package containing encrypted data and a second computing device that decrypts and processes the data. The system ensures secure transmission and access control by using cryptographic techniques. The data package may include metadata, such as a timestamp or access permissions, to manage how the data is used. The system also includes a third computing device that acts as an intermediary, accessible wirelessly by both the first and second computing devices. This third device may facilitate data transfer, coordinate synchronization, or provide additional security features, such as authentication or key management. The system is designed to enhance data security and accessibility in distributed computing environments, particularly where multiple devices need to share information while maintaining integrity and confidentiality. The third computing device may also serve as a backup or verification node, ensuring data consistency across the network. The overall architecture supports secure, efficient, and scalable data sharing in scenarios where direct communication between the first and second devices is not feasible or secure.
11. An apparatus, comprising: one or more camera devices; and logic, the logic at least partially including hardware logic, to receive video data corresponding to motion of a mobile computing device captured by the one or more camera devices, receive sensor data corresponding to motion of the mobile computing device captured by one or more sensors of the mobile computing device, compare the video data and the sensor data to one or more gesture models, determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture based on the comparison of the video data and the sensor data to one or more gesture models, compare time stamps of the video data and the sensor data, determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time, and determine whether to initiate establishment of a secure wireless connection between the apparatus and the mobile computing device based at least on a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture and a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time.
An apparatus (like a computer or TV) establishes a secure wireless connection with a mobile device (like a smartphone) using gesture recognition. The apparatus has a camera that captures video of the mobile device's motion. The apparatus also receives sensor data about the mobile device's motion from the mobile device itself. The apparatus compares the video and sensor data to known gesture models. If the data from both sources matches the same gesture at the same time (verified by timestamps), then a secure wireless connection is established between the apparatus and the mobile device. The logic to accomplish this includes hardware components.
12. The apparatus of claim 11 , the apparatus comprising one of a laptop computer, a desktop computer, a set-top box or a digital television and the mobile computing device comprising one of a smartphone or a tablet computing device.
The apparatus from the gesture-based connection is a laptop, desktop, set-top box, or digital television, and the mobile computing device is a smartphone or tablet. This describes specific types of devices using this connection.
13. The apparatus of claim 11 , comprising: the one or more camera devices comprising one or more of a video camera or an infrared camera.
The apparatus from the gesture-based connection uses a video camera or infrared camera to capture the mobile device's motion.
14. The apparatus of claim 11 , the one or more sensors of the mobile computing device comprising one or more of an accelerometer or a gyroscope.
The apparatus using the gesture-based connection receives sensor data (motion) from the mobile device, using the mobile device's accelerometer or gyroscope.
15. The apparatus of claim 11 , the mobile computing device located within a field of view of the one or more camera devices.
The mobile device must be visible within the apparatus's camera view for the gesture-based connection to work.
16. The apparatus of claim 11 , the logic to compare device identification information for the mobile computing device to known device identification information.
The apparatus checks the mobile device's identification against a list of known devices as part of the gesture-based connection security.
17. The apparatus of claim 11 , the logic to initiate a training phase for the mobile computing device and the apparatus, receive video data and sensor data corresponding to motion of the mobile computing device, and store the video data and sensor data as a plurality of gesture models.
The apparatus can enter a training phase to learn new gestures for the gesture-based connection. It records video and sensor data of the mobile device's motions to build gesture models.
18. An apparatus, comprising: one or more sensors; and logic, the logic at least partially including hardware logic, to receive video data corresponding to motion of the apparatus captured by one or more camera devices of a computing device, receive sensor data corresponding to motion of the apparatus from one or more sensors, compare the video data and the sensor data to one or more gesture models, determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture based on the comparison of the video data and the sensor data to one or more gesture models, compare time stamps of the video data and the sensor data, determine whether the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time, and determine whether to initiate establishment of a secure wireless connection between the apparatus and the computing device based at least on a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors correspond to a same gesture and a determination that the motion captured by the one or more camera devices and the motion captured by the one or more sensors occurred at substantially a same time.
An apparatus (like a smartphone or tablet) establishes a secure wireless connection with another computing device (like a computer or TV) using gesture recognition. The apparatus has sensors that capture motion data. The other computing device captures video of the apparatus's motion. The apparatus compares the sensor data and received video to known gesture models. If the data from both sources matches the same gesture at the same time (verified by timestamps), then a secure wireless connection is established between the apparatus and the other computing device. The logic to accomplish this includes hardware components.
19. The apparatus of claim 18 , the apparatus comprising one of a smartphone or a tablet computing device and the computing device comprising one of a laptop computer, a desktop computer, a set-top box or a digital television.
The apparatus from the gesture-based connection is a smartphone or tablet, and the computing device is a laptop, desktop, set-top box, or digital television.
20. The apparatus of claim 18 , comprising: the one or more sensors, the one or more sensors comprising one or more of an accelerometer or a gyroscope.
The apparatus from the gesture-based connection uses an accelerometer or gyroscope as its motion sensor(s).
21. The apparatus of claim 18 , the one or more camera devices of the computing device comprising one or more of a video camera or an infrared camera.
The computing device uses a video camera or infrared camera to capture the apparatus's motion for the gesture-based connection.
22. The apparatus of claim 18 , the apparatus located within a field of view of the one or more camera devices of the computing device.
The apparatus must be visible within the computing device's camera view for the gesture-based connection to work.
23. The apparatus of claim 18 , the logic to compare device identification information for the computing device to known device identification information.
The apparatus checks the computing device's identification against a list of known devices as part of the gesture-based connection security.
24. The apparatus of claim 18 , the logic to initiate a training phase for the apparatus and the computing device, receive video data and sensor data corresponding to motion of the apparatus, and store the video data and sensor data as a plurality of gesture models.
The apparatus can enter a training phase to learn new gestures for the gesture-based connection. It records video and sensor data of its own motions to build gesture models.
25. A computer-implemented method, comprising: receiving video data associated with motion of a first computing device, the video data captured by one or more camera devices of a second computing device; receiving sensor data associated with motion of the first computing device, the sensor data captured by one or more sensors of the first computing device; comparing, by a processor, the video data and the sensor data to one or more gesture models; determining whether the motion associated with the video data and the motion associated with the sensor data correspond to a same gesture based on the comparison of the video data and the sensor data to one or more gesture models; comparing one or more time stamps the video data and the sensor data; determining whether the motion associated with the video data and the motion associated with the sensor data occurred at substantially a same time; and determining whether to initiate establishment of a wireless connection between the first computing device and the second computing device based at least on a determination that the motion associated with the video data and the motion associated with the sensor data correspond to a same gesture and a determination that the motion associated with the video data and the motion associated with the sensor data occurred at substantially a same time.
A computer-implemented method wirelessly connects two devices using gesture recognition. A first device's motion is captured by a second device's camera, and by the first device's own sensors. A processor compares both the camera video and the first device's sensor data to pre-existing gesture models. It checks if the captured motion from both sources matches the same gesture. Also, it checks if both sets of data have matching timestamps. If the gesture matches and the timestamps are close, a wireless connection between the two devices is initiated.
26. The computer-implemented method of claim 25 , comprising: detecting motion of the first computing device using the one or more sensors of the first computing device; determining that the first computing device is located within a field of view of the one or more camera devices of the second computing device; and initiating the receiving of the video data and the sensor data based on the detecting and determining.
The gesture-based wireless connection method includes the first device using its sensors to detect motion and verifying that it is within the second device's camera view before the video and sensor data are processed.
27. The computer-implemented method of claim 25 , comprising: initiating a training phase for the first and second computing device; receiving video data and sensor data corresponding to motion of the first computing device; and storing the video data and sensor data as a plurality of gesture models.
The gesture-based wireless connection method includes a training phase. The system records video data and sensor data corresponding to motion of the first computing device, and saves the video and sensor data as gesture models.
28. The computer-implemented method of claim 25 , the first computing device comprising one of a smartphone or a tablet computing device and the second computing device comprising one of a laptop computer, a desktop computer, a set-top box or a digital television, the one or more sensors comprising one or more of an accelerometer or a gyroscope, and the one or more camera devices comprising one or more of a video camera or an infrared camera.
The gesture-based wireless connection method involves a first device that's a smartphone or tablet, using accelerometer or gyroscope sensors. The second device is a laptop, desktop, set-top box, or digital television, using a video camera or infrared camera.
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August 29, 2017
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